Assessment and improvement of the appropriateness of an LCI data set on a system level - Application to textile manufacturing

International Journal of Life Cycle Assessment

Volumn 19, Issue 4, 2014, Pages 950-961

  De Saxcé, Marie ^a,b,c   Rabenasolo, Besoa ^a,d   Perwuelz, Anne ^a,b  

^a UNIV LILLE   (France)

^b GEMTEX   (France)

^c BUREAU VERITAS   (France)

^d ECLille LM2O   (France)

Author keywords

Appropriateness error measurements; Life Cycle Assessment; Textile manufacturing

Indexed keywords

ARTICLE; DATA BASE; ELECTRICITY; HIERARCHICAL CLUSTER ANALYSIS; LIFE CYCLE ASSESSMENT; LIFE CYCLE INVENTORY; MULTIVARIATE ANALYSIS OF VARIANCE; PERCENTAGE MARGINAL VARIANCE; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROGRAM APPROPRIATENESS; STATISTICAL CONCEPTS; TEXTILE INDUSTRY; YARN;

GOSSYPIUM HIRSUTUM; PAPAYA MOSAIC VIRUS;

EID: 84899120700     PISSN: 09483349     EISSN: 16147502     Source Type: Journal    
DOI: 10.1007/s11367-013-0679-9     Document Type: Article

References (31)

1. Benetto E, Dujet C, Rousseaux P (2008) Integrating fuzzy multicriteria analysis and uncertainty evaluation in life cycle assessment. Environ Model Softw 23(12):1461-1467
2. Bojaca CR, Schrevens E (2010) Parameter uncertainty in LCA: stochastic sampling under correlation. Int J Life Cycle Assess 15(3):238-246
3. Boufateh I et al. (2008) Life Cycle Assessment: data availability, reliability and robustness in textile industry. 8th AUTEX Conference- Working towards change: Academy and Industry together, Biella (Italy), 24 - 26 June (CD-Rom version); 2008. In 8th AUTEX Conference- Working towards change: Academy and Industry together, 24 - 26 June. Biella, Italy
4. Bureau Veritas CODDE (2011) EIME, Environmental Improvement Made Easy v.5. Available at: https://demo.bveime.com
5. Chevalier J-L, Téno J-FL (1996) Life cycle analysis with ill-defined data and its application to building products. Int J Life Cycle Assess 1(2):90-96
6. Ciroth A et al (2002) Geographical and technological differences in Life Cycle Inventories shown by the use of process models for waste incinerators. Part I. Technological and geographical differences. Int J Life Cycle Assess 7(5):295-300
7. Ciroth A, Fleischer G, Steinbach J (2004) Uncertainty calculation in life cycle assessments - a combined model of simulation and approximation. Int J Life Cycle Assess 9(4):216-226
8. De Saxce M (2012) Méthodologie pour l'évaluation des impacts environnementaux des textiles par l'Analyse du Cycle de Vie. Manuscrit de thèse. Université de Lille Nord de France, GEMTEX laboratory
9. De Saxce M, Rabenasolo B, Perwuelz A (2012) Technological, geographical uncertainty measurements for textile spinning processes. In: 6th International SETAC congress. Berlin
10. European Commission (2010) ILCD handbook - General guide for life cycle assessment - Detailed guidance, Directorate General Joint Research Centre
11. Heijungs R, Suh S, Kleijn R (2005) Numerical approaches to life cycle interpretation - the case of the Ecoinvent'96 database. Int J Life Cycle Assess 10(2):103-112
12. Huijbregts MAJ (1998) Application of uncertainty and variability in LCA. Part I: a general framework for the analysis of uncertainty and variability in life cycle assessment. Int J Life Cycle Assess 3(5):273-280
13. IEA and OECD (2010) International Energy Agency database. Statistics and balance per country. Available at: http://www.iea.org/stats/index.asp
14. ILCD (2011) ILCD handbook - Recommendations for Life Cycle Impact Assessment in the European context production. JRC, ies
15. Imbeault-Tétreault H et al (2013) Analytical propagation of uncertainty in life cycle assessment using matrix formulation. J Ind Ecol 17(4):485-492
16. ITMF (2011) International textile machinery shipments statistics, International Textile Manufacturers Federation, Zürich, Switzerland
17. Koç E, Kaplan E (2007) An investigation on energy consumption in yarn production with special reference to ring spinning. Fibres Text East Eur 15(4):18-25
18. Kooistra K, Termorshuizen A, Pyburn R (2006) The sustainability of cotton consequences for man and environment, Science Shop Wageningen UR, report 223. Wageningen University, The Netherlands
19. Laursen SE et al. (2007) EDIPTEX - Environmental assessment of textiles, Working report n°24, Danish Ministry of the environment, Environmental protection Agency
20. Lloyd SM, Ries R (2008) Characterizing, propagating, and analyzing uncertainty in life-cycle assessment: a survey of quantitative approaches. J Ind Ecol 11(1):161-179
21. Maurice B et al (2000) Uncertainty analysis in life cycle inventory. Application to the production of electricity with French coal power plants. J Cleaner Prod 8(2):95-108
22. May JR, Brennan DJ (2003) Application of data quality assessment methods to an LCA of electricity generation. Int J Life Cycle Assess 8(4):215-225
23. Önder E, Berkalp ÖB (2009) Weaving technology: weft insertion rate of different looms. Istanbul Technical University, Department of Textile Engineering
24. Owsianiak M et al (2013) Addressing geographic variability in the comparative toxicity potential of copper and nickel in soils. Environ Sci Technol 47(7):3241-3250
25. Pearson K (1901) LIII. On lines and planes of closest fit to systems of points in space. Philos Mag 2(11):559-572
26. Petit J, Lanfranconi A, Gimat C (2013) Présentation d'une méthodologie de calcul des émissions au champ dans le cadre de la simplification des ACV en agroalimentaire. In: Symposium EcoTechs. Bureau Veritas CODDE presentation. Vitry
27. R Development Core Team (2008) R - a language and environment for statistical computing. Available at: http://www.r-project.org
28. Sonnemann GW, Schuhmacher M, Castells F (2003) Uncertainty assessment by a Monte Carlo simulation in a life cycle inventory of electricity produced by a waste incinerator. J Clean Prod 11(3):279-292
29. Suzuki R, Shimodaira H (2006) Pvclust: an R package for assessing the uncertainty in hierarchical clustering. Bioinformatics 22(12):1540-1542
30. Taylor P et al (2008) Energy efficiency indicators for public electricity production from fossil fuels: An International Energy Agency (IEA) Information Paper in Support of the Group of Eight (G8) Plan of Action
31. Weidema BP, Wesnaes MS (1996) Data quality management for life cycle inventories - an example of using data quality indicators. J Clean Prod 4(3):167-174